Researcher

Mian Wei

Mian Wei is a computer vision researcher who develops computational cameras for single-photon imaging. He coauthored coded two-bucket imaging in 2018 and shared the 2023 ICCV Marr Prize for a system that reconstructs video across more than nine orders of magnitude in time. By May 2024, he was a PhD candidate in the University of Toronto's Dynamic Graphics Projects lab; he completed his PhD there in 2025 and coauthored a CVPR method for passive 3D imaging from ambient pulsed lasers. He is a postdoctoral fellow at Carnegie Mellon University, where he works with Srinivasa Narasimhan and Ioannis Gkioulekas.

Timeline

  1. 2018

    Coded two-bucket cameras

    He and his University of Toronto colleagues present coded two-bucket (C2B) imaging in an oral ECCV paper in 2018. Their camera divides incoming light between two pixel buckets and processes the results into live disparity or surface-normal maps for dynamic scenes.

  2. 2023

    An ICCV Marr Prize

    At ICCV in 2023, he and Sotiris Nousias, Rahul Gulve, David B. Lindell and Kiriakos N. Kutulakos win the Marr Prize for Passive Ultra-Wideband Single-Photon Imaging. Their method captures a dynamic scene once and lets users render video across more than nine orders of magnitude in time.

  3. May 2024

    PhD candidacy at Toronto

    In May 2024, he is a PhD candidate in the University of Toronto's Dynamic Graphics Projects (DGP) lab under Kyros Kutulakos. He has earned MSc and BSc degrees from the university.

  4. 2025

    PhD and passive 3D imaging

    He completes his University of Toronto PhD in 2025 with a dissertation titled Computational Imaging across Simultaneous Timescales. In a CVPR 2025 paper, he and his collaborators use single-photon cameras to detect and separate ambient pulsed lasers, then recover a depth map for passive imaging.

  5. As of October 2026

    Postdoctoral work at Carnegie Mellon

    As of October 2026, he is a postdoctoral fellow at Carnegie Mellon University, where he works with Srinivasa Narasimhan and Ioannis Gkioulekas. His research focuses on computational imaging and cameras.

Career

  1. NowCarnegie Mellon UniversityPostdoctoral Fellow

Education

  1. 2025University of TorontoBSc

Sources and credits

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  1. C2B Camera dgp.toronto.edu. Checked 21 October 2026.
  2. Passive Ultra-Wideband Single-Photon Imaging dgp.toronto.edu. Checked 21 October 2026.
  3. U of T researchers develop video camera that captures 'huge range of timescales' utoronto.ca. Checked 21 October 2026.
  4. Passive Ultra-Wideband Single-Photon Imaging - Robotics Institute Carnegie Mellon University ri.cmu.edu. Checked 21 October 2026.
  5. Mian Wei mianwei.ca. Checked 21 October 2026.
  6. Opportunistic Single-Photon Time of Flight openaccess.thecvf.com. Checked 21 October 2026.
  7. Carnegie Mellon Computational Imaging imaging.cs.cmu.edu. Checked 21 October 2026.